Open AccessEccentricity Fault Diagnosis in BLDC motor using Finite Element and Frequency Research
Publication year - 2019
Publication title -
international journal of recent technology and engineering
Language(s) - English
Resource type - Journals
ISSN - 2277-3878
DOI - 10.35940/ijrte.b1002.982s1119
Subject(s) - permeance , stator , finite element method , rotor (electric) , eccentricity (behavior) , fault (geology) , control theory (sociology) , computer science , fast fourier transform , engineering , structural engineering , algorithm , mechanical engineering , artificial intelligence , geology , permeation , genetics , control (management) , membrane , seismology , political science , law , biology
The present article examines how rotor, stator and eccentricity faults can be identified in a Brushless DC (BLDC) motor. For a defective BLDCM, a novel finite-element analysis (FEA) index is implemented for non-invasive detection of such faults. The selected index was the elements for amplitude/frequency modulation units with a specific pattern of frequency obtained from the stator current spectrum. The application of this index enables the incidence and type and the proportion of eccentricity to be accurately determined. A finite-element analysis (FEA) method that takes into consideration all the structural and physical features of the motor elements, nonuniform permanent-magnet (PM) features as well as nonuniform air gap permeance, is used to model the BLDC eccentricities. In an attempt to be processed accurately, this model employs tools such as FFT, STFT, Wigner-Ville, Choi Williams analysis and Gabor Transforms to the expected indicators. The suggested index is validated by comparing the simulation and experimentation outcomes of both healthy and faulty machines.